Feed/Other/@stableAPY

12

Score · neutral

@stableAPY

stableAPY.hl

Hyperfolio is a free multi-wallet DeFi portfolio tracker specifically for HyperEVM (Hyperliquid's EVM layer). The platform monitors tokens, NFTs, DeFi positions from Hyperlend/Hyperswap, and transaction history without requiring wallet connections. However, the Twitter account primarily focuses on local LLM/AI development content (Qwen, Unsloth, GPU benchmarking) rather than the crypto product itself, creating a mismatch between stated focus and actual activity.

𝕏 @stableAPY ↗ hyperfolio.xyzOtherneutral

AI Analysisneutral

Confidence

70%

Hyperfolio is a free multi-wallet DeFi portfolio tracker specifically for HyperEVM (Hyperliquid's EVM layer).

The platform monitors tokens, NFTs, DeFi positions from Hyperlend/Hyperswap, and transaction history without requiring wallet connections.

However, the Twitter account primarily focuses on local LLM/AI development content (Qwen, Unsloth, GPU benchmarking) rather than the crypto product itself, creating a mismatch between stated focus and actual activity.

Green flags: Working product with clear utility (portfolio tracking for HyperEVM ecosystem) · No wallet connection required, privacy-focused design · Free API available for builders

Red flags: Account tweets are almost entirely about local AI/LLM development, not about Hyperfolio product · Brand confusion: bio says 'Building HyperFolio' but actual content is AI/GPU benchmarking · Very recent account (Feb 2025) with minimal product-related content or traction · Low engagement (avg 62) despite having nearly 2k followers

Token

No · pre-launch

Chain

HyperEVM

Stage

mainnet+live

Category

portfolio tracker

Recent tweetsSee all on 𝕏 →

everybody is talking about Orinth-1.0-35b but I feel the 9B is the real deal it seems WAY above it's base model and is even closer to qwen 3.5 35B or gemma 4 31B which is a dense model, that's insane can't wait for euro-summer to end to be back at local llms https://t.co/G25140omFP

5d ago♥ 66💬 7🔁 2

1st of April: Qwen release Qwen 3.6 Plus 14th of April: Qwen release Qwen 3.6 35B A3B 1st of June: Qwen release Qwen 3.7 Plus 14th of June: Qwen release Qwen 3.7 35B A3B (?) I believe

3w ago♥ 106💬 5🔁 2

oh boy, I'm running Qwen 3.6 27B Q6_K using tensor split on both my RTX 3090 and 3080 with almost full context (250k). yesterday, my friend sent me this reddit post: https://t.co/3dHCG105TY turns out llama.cpp build b9455 allows for good tensor splitting across two GPUs good news is: the 3090 and the 3080 have the same bandwidth (936 GB/s), so even though the 3080 has less VRAM, it won't drag down the 3090 this means I can split the model 70/30 between the two cards based on my first tests, the MTP version gives me 69 to 44 tok/s in decode depending on context (it'll probably be less during a real coding session, I'll test it out later) ngl, I'm pretty happy to be able to run bigger quants than Q4 I also tried the Q6_K_XL, which works a bit slower and has a tighter context window Config: Q6_K, KV q8_0/q4_0, tensor split 70/30, ctx 252000, MTP, 3090 + 3080 Ti at 300W Model: https://t.co/FMpfvOn6s9

3w ago♥ 44💬 5🔁 2

I've ran some tests on Gemma 4 12b on my RTX 3060 12gb it seems to handle context pretty good and I have around 30tok/s almost all the way to 130k context I asked GPT to test it out a bit for coding and comparing to Qwen 3.6 35B, and it seems quite close I have tried the Q4_K_M from Unsloth, I want to see if the Q6 does any better quality wise

4w ago♥ 129💬 16🔁 3

wow this looks cool for my 3060 12gb gonna try it

4w ago♥ 26💬 6🔁 0

Signal Timeline

CR

@CryptoPicsou followed

BFirst discovered·2mo ago

Score breakdown0–100

🎯Scout quality

+18.900000000000002 / 25

📚Signal stack

0 / 30

🪪Profile

+16 / 15

✍️Content

+5 / 10

🤖AI verdict

+8 / 20

⚠️Penalties

-36 / 20

12

Below threshold (70)
Watching for additional signals.

Followers

1.9K

Account age

1.3y

Scouts

0

First seen

2mo ago